In this paper we present the distributed software system CFLP for solving constraints over the complex numbers in a functional logic programming environment. We describe the general architecture of the system and the functionality of its main components. 1 Introduction Functional and logic programming are the most important declarative programming paradigms and interest in combining them has grown over the last decade (see [7] for a survey). A sound and complete method to solve equations with respect to a terminating and confluent term rewriting systems is narrowing [9]. There are many variants of narrowing that can be successfully used as an implementation basis of a functional logic programming (FLP) language. Among them, the lazy narrowi...
We propose a new computation model which combines the operational principles of functional languages...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
There has been a lot of interest lately from people solving constrained optimization problems for co...
. We present a declarative language -- CFLP (R) -- which enhances functional logic programming with ...
This paper proposes the integration of finite domain (FD) cons-traints into a general purpose lazy f...
AbstractIn this paper we propose a new generic scheme CFLP(D), intended as a logical and semantic fr...
The new generic scheme CFLP (D) has been recently pro-posed in [24] as a logical and semantic framew...
Abstract This paper presents a proposal for the cooperation of solvers in constraint functional logi...
AbstractThis paper presents a proposal for the cooperation of solvers in constraint functional logic...
In this paper we describe a sound and complete concurrent operational semantics for constraint funct...
AbstractThe CFLP scheme for Constraint Functional Logic Programming has instances CFLP(D) correspond...
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it a...
Needed narrowing is a complete operational principle for modern declarative languages which integrat...
Abstract. This paper highlights the power of T OY(FD), a functional logic language with support for ...
This paper describes implementation issues of the constraint functional logic system T OY, which has...
We propose a new computation model which combines the operational principles of functional languages...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
There has been a lot of interest lately from people solving constrained optimization problems for co...
. We present a declarative language -- CFLP (R) -- which enhances functional logic programming with ...
This paper proposes the integration of finite domain (FD) cons-traints into a general purpose lazy f...
AbstractIn this paper we propose a new generic scheme CFLP(D), intended as a logical and semantic fr...
The new generic scheme CFLP (D) has been recently pro-posed in [24] as a logical and semantic framew...
Abstract This paper presents a proposal for the cooperation of solvers in constraint functional logi...
AbstractThis paper presents a proposal for the cooperation of solvers in constraint functional logic...
In this paper we describe a sound and complete concurrent operational semantics for constraint funct...
AbstractThe CFLP scheme for Constraint Functional Logic Programming has instances CFLP(D) correspond...
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it a...
Needed narrowing is a complete operational principle for modern declarative languages which integrat...
Abstract. This paper highlights the power of T OY(FD), a functional logic language with support for ...
This paper describes implementation issues of the constraint functional logic system T OY, which has...
We propose a new computation model which combines the operational principles of functional languages...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
There has been a lot of interest lately from people solving constrained optimization problems for co...